Fingerprint Recognition Using Minutia Score Matching

TL;DR

This paper presents a fingerprint recognition method using Minutia Score Matching that improves false matching ratio by employing a block filter for image thinning and minutiae extraction.

Contribution

It introduces a fingerprint recognition technique using Minutia Score Matching with a novel block filter for better minutiae extraction and reduced false matches.

Findings

Lower false matching ratio compared to existing algorithms

Effective minutiae extraction using block filter during fingerprint thinning

Improved accuracy in fingerprint recognition

Abstract

The popular Biometric used to authenticate a person is Fingerprint which is unique and permanent throughout a person's life. A minutia matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation. In this paper we projected Fingerprint Recognition using Minutia Score Matching method (FRMSM). For Fingerprint thinning, the Block Filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image. The false matching ratio is better compared to the existing algorithm.